Yuxi
可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
Runssource: GitHubhomepagePythonMITcommit bd07ab4ac4fa
Python, MIT licensed. The project labels itself: agentic rag, ai agents, deepagents, docker, document ai, fastapi, harness and kbqa.
Yuxi runs. An Argusic agent installed it in 34 minutes and hit 3 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
1640 backend unit tests pass on Python 3.12 with uv, after installing system X11 library stubs and adding test/__init__.py for import resolution.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 96 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- ImportError: `libxcb.so.1` not found — OpenCV (`cv2`) requires X11 system libraries missing from the container.10 minutes
- ImportError: `test.live_api_cleanup` import fails because `test` resolves to Python stdlib module (a regular package) instead of the project's namespace package at `backend/test/`.5 minutes
- 2 test failures: `test_kubernetes_storage_init_migrates_only_real_entries` and `test_runtime_identity_migration_preserves_symlink_without_following_target` assert directory mode `0o755` but get `0o775` due to container umask `0002` instead of `0022`.3 minutes
- Install time
- 34 minutes
- Cold machine to finish
- 40 minutes
- Errors hit and fixed
- 3 hit, 3 fixed with no human help
- Model tokens used
- 528,170
- Exact commit tested
- bd07ab4ac4fa
- Container image
- sha256:4c3d41857be3
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- How the result was proved
- runs before 2026-09-07 did not record the command used to check the result
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
exec
/bin/sh -lc 'cd /work/repo/backend && export PATH="$HOME/.local/bin:$PATH" && LD_LIBRARY_PATH=/tmp/…
Let me wait for the final verification run.
succeeded in 102012ms:
/work/repo/backend/package/yuxi/knowledge/implementations/milvus.py:1416: PyMilvusDeprecationWarn…
connections.disconnect(self.connection_alias)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================= 1640 passed, 7 warnings in 94.04s (0:01:34) ==================
All 1640 tests pass. Let me now produce the final result.
tokens used
528,170
All 1640 tests pass. Let me now produce the final result.Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Installed in 34 minutes.
- Recovered from all 3 errors without a human stepping in, which says the failures are documented well enough to solve.
- Ran without a GPU, so it does not need one to start.
- Licensed MIT, as reported by its host.
- Measured 2 times, so the result is not a one-off.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Runs with mocks | 92.00 | 0.08 | |
| Argusic Runner | 2/3 | Runs | 100.00 | 0.28 |
Topics (from GitHub)
agentic-ragai-agentsdeepagentsdockerdocument-aifastapiharnesskbqakgqaknowledge-baseknowledge-graphlanggraphllmsmcpmilvusmulti-agentneo4jragself-hostedvue
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/yuxi)Questions
- Does Yuxi run?
- Yes. Yuxi runs. Argusic installed and launched it on a clean machine in 34 minutes, hitting 3 errors on the way, and recorded the session.
- How did Argusic test Yuxi?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit bd07ab4ac4fa. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test Yuxi?
- The run that produced this verdict cost $0.28: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does Yuxi take to install?
- 34 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does Yuxi need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing Yuxi?
- 3 things broke in the recorded run, and 3 were fixed without human help. Each one, and the time it cost, is listed on this page.
- Where is the evidence for Yuxi?
- All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.